Deploying to gh-pages from @ adfb240 🚀

Author: DavisVaughan

dev/articles/FAQ.html

@@ -338,10 +338,10 @@ void add_one(cpp11::sexp x_sexp) {
 ``` r
 x <- c(1L, 2L, 3L, 4L)
 .Internal(inspect(x))
-#> @56453498f478 13 INTSXP g0c2 [REF(2)] (len=4, tl=0) 1,2,3,4
+#> @55996130cfa8 13 INTSXP g0c2 [REF(2)] (len=4, tl=0) 1,2,3,4
 add_one(x)
 .Internal(inspect(x))
-#> @56453498f478 13 INTSXP g0c2 [REF(5)] (len=4, tl=0) 2,3,4,5
+#> @55996130cfa8 13 INTSXP g0c2 [MARK,REF(5)] (len=4, tl=0) 2,3,4,5
 x
 #> [1] 2 3 4 5
 ```
@@ -590,8 +590,8 @@ bench::mark(
 #> # A tibble: 2 × 6
 #>   expression                 min   median `itr/sec` mem_alloc `gc/sec`
 #>   <bch:expr>            <bch:tm> <bch:tm>     <dbl> <bch:byt>    <dbl>
-#> 1 test_extract_cpp11(x)   41.7ms  44.91ms      21.6        0B     39.3
-#> 2 test_extract_r_api(x)   1.86ms   1.87ms     531.         0B      0
+#> 1 test_extract_cpp11(x)  39.88ms   42.6ms      22.9        0B     42.0
+#> 2 test_extract_r_api(x)   1.86ms   1.87ms     530.         0B      0
 ```
 
 We plan to improve on this in the future, but for now this is one of the

dev/articles/FAQ.md

@@ -102,7 +102,7 @@ cpp_function('int add(int x, int y, int z) {
 add
 #> function (x, y, z) 
 #> {
-#>     .Call("_code_1e346b10c362_add", x, y, z, PACKAGE = "code_1e346b10c362")
+#>     .Call("_code_1e2d15cc8726_add", x, y, z, PACKAGE = "code_1e2d15cc8726")
 #> }
 add(1, 2, 3)
 #> [1] 6
@@ -282,9 +282,9 @@ bench::mark(
 #> # A tibble: 3 × 6
 #>   expression      min   median `itr/sec` mem_alloc `gc/sec`
 #>   <bch:expr> <bch:tm> <bch:tm>     <dbl> <bch:byt>    <dbl>
-#> 1 sum(x)       2.03µs   2.05µs   473760.        0B      0  
-#> 2 sum_cpp(x)   1.91µs   1.97µs   463325.        0B     46.3
-#> 3 sum_r(x)    26.06µs  26.36µs    37310.    31.7KB      0
+#> 1 sum(x)       2.02µs   2.05µs   472291.        0B      0  
+#> 2 sum_cpp(x)   1.92µs   1.97µs   467618.        0B     46.8
+#> 3 sum_r(x)    25.91µs  26.18µs    36852.    31.7KB      0
 ```
 
 ### Vector input, vector output
@@ -337,8 +337,8 @@ bench::mark(
 #> # A tibble: 2 × 6
 #>   expression             min   median `itr/sec` mem_alloc `gc/sec`
 #>   <bch:expr>        <bch:tm> <bch:tm>     <dbl> <bch:byt>    <dbl>
-#> 1 pdist_r(0.5, y)     4.99ms   5.11ms      191.    7.63MB     95.5
-#> 2 pdist_cpp(0.5, y)   3.95ms      4ms      249.    7.63MB    126.
+#> 1 pdist_r(0.5, y)      4.8ms   4.93ms      200.    7.63MB     102.
+#> 2 pdist_cpp(0.5, y)    3.8ms   3.88ms      255.    7.63MB     127.
 ```
 
 On my computer, it takes around 5 ms with a 1 million element `y`
@@ -1160,8 +1160,8 @@ bench::mark(
 #> # A tibble: 2 × 6
 #>   expression   min median `itr/sec` mem_alloc `gc/sec`
 #>   <bch:expr> <dbl>  <dbl>     <dbl>     <dbl>    <dbl>
-#> 1 r           43.9   44.1       1        32.3      Inf
-#> 2 cpp          1      1        43.8       1        NaN
+#> 1 r           42.9   43.0       1        32.3     10.1
+#> 2 cpp          1      1        42.7       1        1
 ```
 
 ### R vectorisation versus C++ vectorisation
@@ -1278,9 +1278,9 @@ bench::mark(
 #> # A tibble: 3 × 6
 #>   expression      min   median `itr/sec` mem_alloc `gc/sec`
 #>   <bch:expr> <bch:tm> <bch:tm>     <dbl> <bch:byt>    <dbl>
-#> 1 vacc1        1.54ms   1.66ms      593.    7.86KB     35.7
-#> 2 vacc2        42.6µs  45.49µs    20528.  146.68KB     39.0
-#> 3 vacc3       12.08µs  12.35µs    79084.   14.02KB     15.8
+#> 1 vacc1        1.55ms   1.61ms      610.    7.86KB     33.0
+#> 2 vacc2       41.31µs  43.24µs    20683.  146.68KB     37.5
+#> 3 vacc3       12.17µs  12.37µs    79650.   14.02KB     15.9
 ```
 
 Not surprisingly, our original approach with loops is very slow.

dev/articles/cpp11.html

@@ -7,7 +7,7 @@ articles:
   FAQ: FAQ.html
   internals: internals.html
   motivations: motivations.html
-last_built: 2026-01-20T20:05Z
+last_built: 2026-01-21T18:49Z
 urls:
   reference: https://cpp11.r-lib.org/reference
   article: https://cpp11.r-lib.org/articles